Seems you have not registered as a member of br2.biz!

You may have to register before you can download all our books and magazines, click the sign up button below to create a free account.

Sign up

Genetic Programming
  • Language: en
  • Pages: 819

Genetic Programming

  • Type: Book
  • -
  • Published: 1992
  • -
  • Publisher: MIT Press

In this ground-breaking book, John Koza shows how this remarkable paradigm works and provides substantial empirical evidence that solutions to a great variety of problems from many different fields can be found by genetically breeding populations of computer programs. Genetic programming may be more powerful than neural networks and other machine learning techniques, able to solve problems in a wider range of disciplines. In this ground-breaking book, John Koza shows how this remarkable paradigm works and provides substantial empirical evidence that solutions to a great variety of problems from many different fields can be found by genetically breeding populations of computer programs. Genet...

Genetic Programming IV
  • Language: en
  • Pages: 590

Genetic Programming IV

Genetic Programming IV: Routine Human-Competitive Machine Intelligence presents the application of GP to a wide variety of problems involving automated synthesis of controllers, circuits, antennas, genetic networks, and metabolic pathways. The book describes fifteen instances where GP has created an entity that either infringes or duplicates the functionality of a previously patented 20th-century invention, six instances where it has done the same with respect to post-2000 patented inventions, two instances where GP has created a patentable new invention, and thirteen other human-competitive results. The book additionally establishes: GP now delivers routine human-competitive machine intelligence GP is an automated invention machine GP can create general solutions to problems in the form of parameterized topologies GP has delivered qualitatively more substantial results in synchrony with the relentless iteration of Moore's Law

Genetic Programming III
  • Language: en
  • Pages: 1154

Genetic Programming III

Genetic programming is a method for getting a computer to solve a problem by telling it what needs to be done instead of how to do it. Koza, Bennett, Andre, and Keane present genetically evolved solutions to dozens of problems of design, optimal control, classification, system identification, function learning, and computational molecular biology. Among the solutions are 14 results competitive with human-produced results, including 10 rediscoveries of previously patented inventions. Researchers in artificial intelligence, machine learning, evolutionary computation, and genetic algorithms will find this an essential reference to the most recent and most important results in the rapidly growin...

Artificial Life at Stanford, 1994
  • Language: en

Artificial Life at Stanford, 1994

  • Type: Book
  • -
  • Published: 1994
  • -
  • Publisher: Unknown

None

Genetic Programming II
  • Language: en
  • Pages: 746

Genetic Programming II

Background on genetic algorithms, LISP, and genetic programming. Hierarchical problem-solving. Introduction to automatically defined functions: the two-boxes problem. Problems that straddle the breakeven point for computational effort. Boolean parity functions. Determining the architecture of the program. The lawnmower problem. The bumblebee problem. The increasing benefits of ADFs as problems are scaled up. Finding an impulse response function. Artificial ant on the San Mateo trail. Obstacle-avoiding robot. The minesweeper problem. Automatic discovery of detectors for letter recognition. Flushes and four-of-a-kinds in a pinochle deck. Introduction to biochemistry and molecular biology. Pred...

Proceedings of the Second Annual Conference
  • Language: en
  • Pages: 542
Every Vote Equal
  • Language: en
  • Pages: 1059

Every Vote Equal

  • Type: Book
  • -
  • Published: 2013
  • -
  • Publisher: Unknown

None

Foundations of Genetic Programming
  • Language: en
  • Pages: 260

Foundations of Genetic Programming

This is one of the only books to provide a complete and coherent review of the theory of genetic programming (GP). In doing so, it provides a coherent consolidation of recent work on the theoretical foundations of GP. A concise introduction to GP and genetic algorithms (GA) is followed by a discussion of fitness landscapes and other theoretical approaches to natural and artificial evolution. Having surveyed early approaches to GP theory it presents new exact schema analysis, showing that it applies to GP as well as to the simpler GAs. New results on the potentially infinite number of possible programs are followed by two chapters applying these new techniques.

Evolutionary Computing
  • Language: en
  • Pages: 314

Evolutionary Computing

This book constitutes the refereed post-workshop proceedings of the AISB International Workshop on Evolutionary Computing, held in Manchester, UK, in April 1997. The 22 strictly reviewed and revised full papers presented were selected for inclusion in the book after two rounds of refereeing. The papers are organized in sections on evolutionary approaches to issues in biology and economics, problem structure and finite landscapes, evolutionary machine learning and classifier systems, evolutionary scheduling, and more techniques and applications of evolutionary algorithms.

A Field Guide to Genetic Programming
  • Language: en
  • Pages: 233

A Field Guide to Genetic Programming

  • Type: Book
  • -
  • Published: 2008
  • -
  • Publisher: Lulu.com

Genetic programming (GP) is a systematic, domain-independent method for getting computers to solve problems automatically starting from a high-level statement of what needs to be done. Using ideas from natural evolution, GP starts from an ooze of random computer programs, and progressively refines them through processes of mutation and sexual recombination, until high-fitness solutions emerge. All this without the user having to know or specify the form or structure of solutions in advance. GP has generated a plethora of human-competitive results and applications, including novel scientific discoveries and patentable inventions. This unique overview of this exciting technique is written by three of the most active scientists in GP. See www.gp-field-guide.org.uk for more information on the book.